Application of the IMM-JPDA filter to multiple target tracking in total internal reflection fluorescence microscopy images

Seyed Hamid Rezatofighi, Stephen Gould, Richard Hartley, Katarina Mele, William E. Hughes

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

12 Citations (Scopus)


We propose a multi-target tracking method using an Interacting Multiple Model Joint Probabilistic Data Association (IMM-JPDA) filter for tracking vesicles in Total Internal Reflection Fluorescence Microscopy (TIRFM) sequences. We enhance the accuracy and reliability of the algorithm by tailoring an appropriate framework to this application. Evaluation of our algorithm is performed on both realistic synthetic data and real TIRFM data. Our results are compared against related methods and a commercial tracking software.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings
EditorsNicholas Ayache, Herve Delingette, Polina Golland, Kensaku Mori
Number of pages8
ISBN (Print)9783642334146
Publication statusPublished - 2012
Externally publishedYes
EventInternational Conference on Medical Image Computing and Computer Assisted Intervention 2012 - Nice, France
Duration: 1 Oct 20125 Oct 2012
Conference number: 15th

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7510 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Conference on Medical Image Computing and Computer Assisted Intervention 2012
Abbreviated titleMICCAI 2012


  • Bayesian tracking
  • Data association
  • IMM filter
  • JPDA filter
  • Multi-target tracking
  • Total internal reflection fluorescence microscopy

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